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Data-driven learning beyond English: Insights and implications from three monographs
Forti, Luciana Vyatkina, Nina Schaeffer-Lacroix, Eva
Forti, Luciana
Vyatkina, Nina
Schaeffer-Lacroix, Eva
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Abstract
Despite the growth of DDL in second language (L2) research and education in many languages, its focus has largely been on English. As a result, the knowledge about the applicability of DDL for learning LOTE remains limited. This hinders the validity and generalizability of DDL as a whole, and conceals the important implications related to bridging the research vs. practice gap in such contexts where the focus is on LOTEs. The monographs introduced in this paper demonstrate the relevance of DDL for learning LOTEs by discussing corpus-based resources, pedagogical applications, and empirical research from three perspectives.
Description
This paper stems from the 2023 CorpusCALL SIG Symposium on Data-Driven Learning (DDL) for Languages Other Than English (LOTE). Three monographs on DDL for LOTE were presented and are briefly illustrated in this paper (Forti, 2023; Vyatkina, 2024; Schaeffer-Lacroix, 2019).
Date
2023-08
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Editorial Universitat Politècnica de València
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Keywords
Corpus linguistics, Data-driven learning, German, Italian, Languages other than English
Citation
Forti, L., Vyatkina, N., & Schaeffer-Lacroix, E. (2023). Data-driven learning beyond English: Insights and implications from three monographs. In B. Bédi, Y. Choubsaz, K. Friðriksdóttir, A. Gimeno-Sanz, S. Björg Vilhjálmsdóttir, & S. Zahova (Eds.), CALL for all Languages: EUROCALL 2023 Short Papers (pp. 128-132). Universitat Politècnica de València. https://doi.org/10.4995/EuroCALL2023.2023.16865